Abstract is missing.
- Findings of the WMT 2019 Shared Tasks on Quality EstimationErick Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, Christian Federmann. 1-10 [doi]
- Findings of the WMT 2019 Shared Task on Automatic Post-EditingRajen Chatterjee, Christian Federmann, Matteo Negri, Marco Turchi. 11-28 [doi]
- Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical TerminologiesRachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno-Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurélie Névéol, Mariana L. Neves, Felipe Soares, Amy Siu, Karin Verspoor, Maika Vicente Navarro. 29-53 [doi]
- Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource ConditionsPhilipp Koehn, Francisco Guzmán, Vishrav Chaudhary, Juan Pino. 54-72 [doi]
- RTM Stacking Results for Machine Translation Performance PredictionErgun Biçici. 73-77 [doi]
- Unbabel's Participation in the WMT19 Translation Quality Estimation Shared TaskFabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins. 78-84 [doi]
- QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality EstimationHyun Kim, Joon-Ho Lim, Hyun-Ki Kim, Seung-Hoon Na. 85-89 [doi]
- MIPT System for World-Level Quality EstimationMikhail Mosyagin, Varvara Logacheva. 90-94 [doi]
- NJU Submissions for the WMT19 Quality Estimation Shared TaskHou Qi. 95-100 [doi]
- Quality Estimation and Translation Metrics via Pre-trained Word and Sentence EmbeddingsElizaveta Yankovskaya, Andre Tättar, Mark Fishel. 101-105 [doi]
- SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality EstimationJunpei Zhou, Zhisong Zhang, Zecong Hu. 106-111 [doi]
- Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of DecoderWonKee Lee, Jaehun Shin, Jong-Hyeok Lee. 112-117 [doi]
- Unbabel's Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-EditingAntónio V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous, André F. T. Martins. 118-123 [doi]
- USAAR-DFKI - The Transference Architecture for English-German Automatic Post-EditingSantanu Pal, Hongfei Xu, Nico Herbig, Antonio Krüger, Josef van Genabith. 124-131 [doi]
- APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared TaskDimitar Shterionov, Joachim Wagner, Félix do Carmo. 132-138 [doi]
- Effort-Aware Neural Automatic Post-EditingAmirhossein Tebbifakhr, Matteo Negri, Marco Turchi. 139-144 [doi]
- UdS Submission for the WMT 19 Automatic Post-Editing TaskHongfei Xu, Qiuhui Liu, Josef van Genabith. 145-150 [doi]
- Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation TaskCasimiro Pio Carrino, Bardia Rafieian, Marta R. Costa-Jussà, José A. R. Fonollosa. 151-155 [doi]
- Exploring Transfer Learning and Domain Data Selection for the Biomedical TranslationNoor-e-Hira, Sadaf Abdul-Rauf, Kiran Kiani, Ammara Zafar, Raheel Nawaz. 156-163 [doi]
- Huawei's NMT Systems for the WMT 2019 Biomedical Translation TaskWei Peng, Jianfeng Liu, Liangyou Li, Qun Liu. 164-168 [doi]
- UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain EnsemblesDanielle Saunders, Felix Stahlberg, Bill Byrne. 169-174 [doi]
- BSC Participation in the WMT Translation of Biomedical AbstractsFelipe Soares, Martin Krallinger. 175-178 [doi]
- The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation TaskPau Baquero-Arnal, Javier Iranzo-Sánchez, Jorge Civera, Alfons Juan. 179-184 [doi]
- The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine TranslationMagdalena Biesialska, Lluis Guardia, Marta R. Costa-Jussà. 185-191 [doi]
- Machine Translation from an Intercomprehension PerspectiveYu Chen, Tania Avgustinova. 192-196 [doi]
- Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation TaskJyotsana Khatri, Pushpak Bhattacharyya. 197-201 [doi]
- Neural Machine Translation: Hindi-NepaliSahinur Rahman Laskar, Partha Pakray, Sivaji Bandyopadhyay. 202-207 [doi]
- NICT's Machine Translation Systems for the WMT19 Similar Language Translation TaskBenjamin Marie, Raj Dabre, Atsushi Fujita. 208-212 [doi]
- Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019Atul kr. Ojha, Ritesh Kumar, Akanksha Bansal, Priya Rani. 213-218 [doi]
- UDS-DFKI Submission to the WMT2019 Czech-Polish Similar Language Translation Shared TaskSantanu Pal, Marcos Zampieri, Josef van Genabith. 219-223 [doi]
- Neural Machine Translation of Low-Resource and Similar Languages with BacktranslationMichael Przystupa, Muhammad Abdul-Mageed. 224-235 [doi]
- The University of Helsinki Submissions to the WMT19 Similar Language Translation TaskYves Scherrer, Raúl Vázquez, Sami Virpioja. 236-244 [doi]
- Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel DataAmittai Axelrod, Anish Kumar, Steve Sloto. 245-251 [doi]
- NRC Parallel Corpus Filtering System for WMT 2019Gabriel Bernier-Colborne, Chi-kiu Lo. 252-260 [doi]
- Low-Resource Corpus Filtering Using Multilingual Sentence EmbeddingsVishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn. 261-266 [doi]
- Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions TaskGrant Erdmann, Jeremy Gwinnup. 267-270 [doi]
- Webinterpret Submission to the WMT2019 Shared Task on Parallel Corpus FilteringJesús González-Rubio. 271-276 [doi]
- Noisy Parallel Corpus Filtering through Projected Word EmbeddingsMurathan Kurfali, Robert Östling. 277-281 [doi]
- Filtering of Noisy Parallel Corpora Based on Hypothesis GenerationZuzanna Parcheta, Germán Sanchis-Trilles, Francisco Casacuberta. 282-288 [doi]
- Parallel Corpus Filtering Based on Fuzzy String MatchingSukanta Sen, Asif Ekbal, Pushpak Bhattacharyya. 289-293 [doi]
- The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering TaskRaúl Vázquez, Umut Sulubacak, Jörg Tiedemann. 294-300 [doi]